PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

MICA: A Probabilistic Dependency Parser Based on Tree Insertion Grammars
Srinivas Bangalore, Pierre Boullier, Alexis Nasr, Owen Rambow and Benoit Sagot
In: North American Chapter of the Association for Computational Linguistics (NAACL), 31 May - 5 Jun 2009, Boulder USA.

Abstract

MICA is a dependency parser which returns deep dependency representations, is fast, has state-of-the-art performance, and is freely available.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:6706
Deposited By:Alexis Nasr
Deposited On:08 March 2010